Axel: A Heterogeneous Cluster with FPGAs and GPUs

Provided by: Association for Computing Machinery
Topic: Hardware
Format: PDF
In this paper, the authors describe a heterogeneous computer cluster called Axel. Axel contains a collection of nodes; each node can include multiple types of accelerators such as FPGAs (Field Programmable Gate Arrays) and GPUs (Graphics Processing Units). A MapReduce framework for the Axel cluster is presented which exploits spatial and temporal locality through different types of processing elements and communication channels. The Axel system enables the first demonstration of FPGAs, GPUs and CPUs running collaboratively for N-body simulation.

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